[TITS2025] Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction

The implemention of DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model

The datasets collected from Didi Chuxing and NASDAQ.

我的导航算法学习笔记，内容涵盖导航定位开源程序的源码解读、开源项目梳理、书籍讲义、博客翻译、教程讲座推荐；所有内容都可以随意转载，原始文件都放在这里了，大家可以在我的基础上整理出自己的一些文档。（Tips：①主要是写给初学者，已经有基础的同学应该多看论文和代码，看我的笔记学不到啥；②仓库持续更新中，不建议 fork）

从零走向AGI之路！！！旨在深入了解通用人工智能（AGI）的发展路径，从最基础的概念起，逐步构建完整的知识体系。涵盖AI Agent、RAG、MCP、具身智能、大语言模型、多模态、数字人、AI绘画、AI视频等！！

Transform geospatial relations into graphs for Graph Neural Networks and network analysis

高德MCP出行规划

🚀 Generate GitHub profile README easily with the latest add-ons like visitors count, GitHub stats, etc using minimal UI.

gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI

This is a Pytorch implementation of TLAST: A Time-Lag Aware Spatial-Temporal Transformer for Traffic Flow Forecasting (TITS 2025).

A survey and paper list of current Diffusion Model for Time Series and SpatioTemporal Data with awesome resources (paper, application, review, survey, etc.).

A survey and paper list of current Spatio-Temporal Foundation Models from the pipeline perspective with awesome resources (paper, code, survey, etc.).

code for graph2route

Calculating the nearest weather sensor for each traffic sensor and then merging the weather sensors' temporal data with the traffic sensors'.

[SIGSPATIAL 2023] Revisiting Mobility Modeling with Graph: A Graph Transformer Model for Next Point-of-Interest Recommendation

[Neural Networks] RGDAN: A random graph diffusion attention network for traffic prediction

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

A curated list/survey of/on Deep learning for Travel-Time-Estimation (TTE) & Estimated Time of Arrival (ETA)

同济大学硕博士论文 LaTeX 模板 Tongji-Thesis - 2025 修订

MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)

[AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.

ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction

[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving

Universal markup converter

AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting

[IEEE T-ITS] MG-TAR: Multi-view Graph Convolutional Networks for Traffic Accident Risk Prediction